Results 41 to 50 of about 4,928,656 (192)

A tropical extremal problem with nonlinear objective function and linear inequality constraints [PDF]

, 2012
We consider a multidimensional extremal problem formulated in terms of tropical mathematics. The problem is to minimize a nonlinear objective function, which is defined on a finite-dimensional semimodule over an idempotent semifield, subject to linear ...
Krivulin, Nikolai
core  

Mirror Descent and Convex Optimization Problems With Non-Smooth Inequality Constraints

, 2018
We consider the problem of minimization of a convex function on a simple set with convex non-smooth inequality constraint and describe first-order methods to solve such problems in different situations: smooth or non-smooth objective function; convex or ...
A Beck, A Beck, A Ben-Tal, A Juditsky, A Juditsky, A Nedic, A Nemirovski, A Nemirovskii, A Nemirovsky, B Polyak, B Polyak, L Xiao, NZ Shor, S Boucheron, Y Nesterov, Y Nesterov, Yurii Nesterov   +16 more
core   +1 more source

Direct Levitation Force Control for a Bearingless Induction Motor Based on Model Prediction

IEEE Access, 2019
Aiming at the high-performance operation requirements of a bearingless induction motor (BIM), a direct levitation force control strategy based on model prediction for the BIM is proposed.
Jiang Lu, Zebin Yang, Xiaodong Sun, Chunfeng Bao, Xi Chen   +4 more
doaj   +1 more source

Classification-based objective functions [PDF]

Machine Learning, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rimer, Michael, Martinez, Tony
openaire   +2 more sources

COORDINATION OF LEADER-FOLLOWER MULTI-AGENT SYSTEM WITH TIME-VARYING OBJECTIVE FUNCTION [PDF]

, 2017
This thesis aims to introduce a new framework for the distributed control of multi-agent systems with adjustable swarm control objectives. Our goal is twofold: 1) to provide an overview to how time-varying objectives in the control of autonomous systems ...
Fabian, Zalan Mark
core   +1 more source

Image tag completion by local learning

, 2015
The problem of tag completion is to learn the missing tags of an image. In this paper, we propose to learn a tag scoring vector for each image by local linear learning.
F. Zhang, H.J. Xing, J. Hu, J.J.Y. Wang, J.J.Y. Wang, J.J.Y. Wang, L. Liu, L. Wu, S. Huang, S. Zhang, Y. Zhang, Z. Feng, Z. Li, Z. Lin, Z. Liu, Z. Zhang   +15 more
core   +1 more source

Determining the optimal spatial and temporal thresholds that maximize the predictive accuracy of the prospective space-time scan statistic (PSTSS) hotspot method

Journal of Spatial Information Science, 2018
The spatial and temporal thresholds (K and T) are two key parameters that control the performance of the prospective space-time scan statistical (PSTSS) hotspot method.
Monsuru Adepeju, Andrew Evans
doaj   +1 more source

The importance of calibration parameters on the accuracy of the floods description in the Snyder’s model

Journal of Water and Land Development, 2016
Comparison of quality of Snyder’s model for determination flood waves was examination in this work. Model parameters were calibrated based on objective functions: percentage error in peak flow (PEPF), percentage error in volume (PEV), peak-weighted root ...
Wałęga Andrzej
doaj   +1 more source

Optimal Design of Spur Gears With Increased Contact Ratio

Journal of Mechanical Engineering
The study is devoted to optimal design of gears with profile contact ratio εα ≥ 2. Optimality criteria formulated as follows: the contact stresses in the pitch point must take a minimum value when all constraints are met, first, when the profile contact ...
Ustynenko Oleksandr, Cherelev Stanislav, Ondruška Juraj, Protasov Roman, Yepifanov Vitalii, Bondarenko Oleksiy, Andrienko Sergij   +6 more
doaj   +1 more source

How to Select an Objective Function Using Information Theory

Water Resources Research
In machine learning or scientific computing, model performance is measured with an objective function. But why choose one objective over another? According to the information‐theoretic paradigm, the “best” objective function is whichever minimizes ...
Timothy O. Hodson, Thomas M. Over, Tyler J. Smith, Lucy M. Marshall   +3 more
doaj   +1 more source